Description
NVIDIA's DGX Cloud team is seeking a Senior Software Development Engineer in Test to drive quality across cloud platforms and complex distributed systems. This role combines hands-on test development with opportunities to build simulation environments, reusable engineering tools, and agentic QA workflows.
Responsibilities:
- Define and drive test strategies for cloud platforms and GPU-accelerated services
- Design and develop scalable test frameworks, simulation environments, mock services, and workload generators
- Build functional, integration, end-to-end, reliability, performance, and security coverage for service lifecycle operations
- Investigate complex failures using logs, metrics, traces, and controlled experiments
- Integrate automated validation into CI/CD pipelines and communicate actionable findings on quality trends
- Design and build AI agents and agentic QA workflows to accelerate test planning and execution
- Audit AI-generated outputs against tests and source evidence, continuously improve accuracy and reliability
- Drive cross-team quality improvements, contribute to test architecture and code reviews
Requirements:
- Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- 3+ years of relevant experience in software development or test development for cloud services
- Strong programming skills in Python, working proficiency in shell scripting
- Solid understanding of Linux, networking, HTTP/REST APIs, and distributed-system behavior
- Hands-on experience with containers, Kubernetes, and CI/CD pipelines
- Experience designing reproducible tests and diagnosing failures across software and infrastructure components
- Hands-on experience building AI agents or LLM-powered automation
Nice to have:
- Experience building simulation, emulation, or fault-injection tools for infrastructure testing
- Knowledge of resource scheduling, workload placement, hardware topology, or heterogeneous GPU computing environments
- Experience validating multi-tenant services, traffic management, or model-serving infrastructure
- A track record of sustained AI initiatives and innovation
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